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Tests for price indices in a dynamic item universe

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  • Li-Chun Zhang
  • Ingvild Johansen
  • Ragnhild Nygaard

Abstract

There is generally a need to deal with quality change and new goods in the consumer price index due to the underlying dynamic item universe. Traditionally axiomatic tests are defined for a fixed universe. We propose five tests explicitly formulated for a dynamic item universe, and motivate them both from the perspectives of a cost-of-goods index and a cost-of-living index. None of the indices satisfies all the tests at the same time, which are currently available for making use of scanner data that comprises the whole item universe. The set of tests provides a rigorous diagnostic for whether an index is completely appropriate in a dynamic item universe, as well as pointing towards the directions of possible remedies. We thus outline a large index family that potentially can satisfy all the tests.

Suggested Citation

  • Li-Chun Zhang & Ingvild Johansen & Ragnhild Nygaard, 2018. "Tests for price indices in a dynamic item universe," Papers 1808.08995, arXiv.org, revised Oct 2018.
  • Handle: RePEc:arx:papers:1808.08995
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    References listed on IDEAS

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    1. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    2. Ludwig Auer, 2014. "The Generalized Unit Value Index Family," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 843-861, December.
    3. W. Erwin Diewert, 1999. "Axiomatic and Economic Approaches to International Comparisons," NBER Chapters, in: International and Interarea Comparisons of Income, Output, and Prices, pages 13-107, National Bureau of Economic Research, Inc.
    4. Diewert, W. Erwin & Fox, Kevin J., 2017. "Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data," Microeconomics.ca working papers erwin_diewert-2017-3, Vancouver School of Economics, revised 23 Mar 2017.
    5. Balk, B.M., 2001. "Aggregation Methods in International Comparisons," ERIM Report Series Research in Management ERS-2001-41-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Chen, Yi Vivian & Heston, Alan & Lipsey, Robert, 2000. "International and interarea comparisons of income, output and prices," Journal of Asian Economics, Elsevier, vol. 11(3), pages 363-364, December.
    7. Jan de Haan & Frances Krsinich, 2014. "Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 341-358, July.
    8. Fattore, Marco, 2010. "Axiomatic properties of geo-logarithmic price indices," Journal of Econometrics, Elsevier, vol. 156(2), pages 344-353, June.
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